The Oncolytic Caprine Herpesvirus 1 (CpHV-1) Induces Apoptosis and Synergizes with Cisplatin in Mesothelioma Cell Lines: A New Potential Virotherapy Approach.
Iris Maria FortePaola IndovinaSerena MontagnaroAurora CostaCarmelina Antonella IannuzziFrancesca CaponeRosa CamerlingoAnna Maria MalfitanoFrancesca PentimalliGianmarco FerraraMassimiliamo QuintilianiGiuseppe PortellaAntonio GiordanoRoberto CiarciaPublished in: Viruses (2021)
Malignant mesothelioma (MM) is an aggressive asbestos-related cancer, against which no curative modalities exist. Oncolytic virotherapy is a promising therapeutic approach, for which MM is an ideal candidate; indeed, the pleural location provides direct access for the intra-tumoral injection of oncolytic viruses (OVs). Some non-human OVs offer advantages over human OVs, including the non-pathogenicity in humans and the absence of pre-existing immunity. We previously showed that caprine herpesvirus 1 (CpHV-1), a non-pathogenic virus for humans, can kill different human cancer cell lines. Here, we assessed CpHV-1 effects on MM (NCI-H28, MSTO, NCI-H2052) and non-tumor mesothelial (MET-5A) cells. We found that CpHV-1 reduced cell viability and clonogenic potential in all MM cell lines without affecting non-tumor cells, in which, indeed, we did not detect intracellular viral DNA after treatment. In particular, CpHV-1 induced MM cell apoptosis and accumulation in G0/G1 or S cell cycle phases. Moreover, CpHV-1 strongly synergized with cisplatin, the drug currently used in MM chemotherapy, and this agent combination did not affect normal mesothelial cells. Although further studies are required to elucidate the mechanisms underlying the selective CpHV-1 action on MM cells, our data suggest that the CpHV-1-cisplatin combination could be a feasible strategy against MM.
Keyphrases
- induced apoptosis
- endothelial cells
- cell cycle
- cell cycle arrest
- high glucose
- cell proliferation
- papillary thyroid
- endoplasmic reticulum stress
- oxidative stress
- squamous cell carcinoma
- cell death
- cystic fibrosis
- squamous cell
- machine learning
- staphylococcus aureus
- locally advanced
- escherichia coli
- climate change
- diabetic rats
- deep learning
- biofilm formation
- human health
- young adults
- case control
- data analysis